I am an experienced freelance IT Senior Consultant (Microsoft Fabric , Power BI and Data Engineer) with over 25 years of expertise in Data Engineering, Business Intelligence, and Data Analytics. I offer my services as an independent IT consultant.

Throughout my career, I have been responsible for the design, development, deployment, and operation of Business Intelligence and data analytics solutions. I have worked with a broad range of modern technologies, including Microsoft Fabric, Azure SQL, MS SQL Server, Power BI, Azure Data Factory, Azure Analysis Services, Azure Synapse, Azure Databricks, Azure Blob Storage, Logic Apps, Azure Automation, Power Apps, Azure DevOps, QlikView, Informatica PowerCenter, SAP HANA, SAP BW, Azure IoT Hub, Event Hub, Eventstream, Eventhouse, and OpenAI, as well as Lakehouse architectures and data warehouse solutions.

I leverage these technologies to help organizations efficiently store, process, analyze, and visualize large-scale data.

My core competencies include:

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BI Solutions and Data Analytics:

• Managing the full lifecycle of BI and data analytics solutions, including requirements analysis, design, development, deployment, monitoring, and operations.

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Data Architecture:

• Design, development, and implementation of scalable data architectures using Azure services.

• Integration of data from on-premises and cloud systems into Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Microsoft Fabric, and Power BI.

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Microsoft Fabric:

• Design, development, and implementation of Microsoft Fabric architectures with Lakehouse layers (Bronze, Silver, Gold), data warehouses, OneLake, shortcuts, and semantic models.

• Development and deployment of notebooks, data warehouse tables, stored procedures, views, and Fabric data pipelines.

• Migration of existing data and ETL processes from Azure Synapse to Fabric, conversion of semantic models from Import Mode to Direct Lake Mode, and reuse of existing Azure Databricks data in Microsoft Fabric.

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Power BI:

• Power BI expert with extensive experience in architecture, development, and administration.

• Design and implementation of a modern Power BI architecture and the development of reports and apps.

• Creation of tabular models with Row-Level Security (RLS) and Column-Level Security (CLS).

• Integration of data from SAP HANA, SAP BW, Azure Databricks, Azure Synapse, REST APIs, and other sources into Power BI semantic models.

• Creation of golden semantic models for reporting.

• Administration of the Power BI platform via the Admin Portal and Admin API.

• Development of semantic models and reports for managing premium capacity, including monitoring, capacity planning, and license management, with automated data provisioning via the Power BI REST API and storage in Azure SQL through Data Factory pipelines.

• Efficient integration of SAP HANA and SAP BW data into Power BI reports, including data extraction from SAP backends via Azure Data Factory and storage in a central database or Lakehouse used by Power BI.

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Database Development and Management:

• Building and implementing Data Lakes, Lakehouses, Data Warehouses, and Data Marts.

• Provisioning Azure SQL Databases, MS SQL Databases, Azure Analysis Services, and Azure Databricks catalogs and schemas.

• Development of efficient T-SQL queries and the design and optimization of tables and views in Azure SQL, MS SQL, Azure Synapse, Azure Databricks, and Microsoft Fabric.

• Ensuring database stability and performance through effective monitoring.

• Implementation of Data Lakehouse zones (Landing, Bronze, Silver, Gold) and Microsoft Fabric Data Warehouse.

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ETL, Data Ingestion, and Transformation:

• Development and management of ETL processes using Azure Data Factory, data storage in Azure Data Lake, data preparation and training in Azure Databricks and Microsoft Fabric, as well as data modeling and provisioning of fact and dimension tables in Azure Synapse Analytics.

• Efficient extraction of data from systems such as SAP BW, SAP HANA, LeanIX, Splunk, Monitis, CRM 360, ServiceNow, REST APIs, and others, with loading into Azure SQL Database, Lakehouse, and Azure Synapse Analytics.

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Cloud Infrastructure and Automation:

• Configuration and management of cloud infrastructure, resource monitoring, and cost optimization.

• Planning and deployment of Azure resources, including Azure SQL Databases, Azure Data Factory, Azure DevOps, Azure Virtual Networks (VNETs), Private Endpoints, Azure VMs, and more.

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Azure DevOps:

• Setting up DevOps projects, creating repositories and branches.

• Implementation of CI/CD pipelines for ADF pipelines, Azure SQL databases, Microsoft Fabric, and Power BI.

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Security and Governance:

Implementation of security policies including encryption, data masking, and access control.

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Real-Time Analytics:​

• Real-time Analytics: Design and development of real-time analytics solutions based on Azure IoT Hub, Event Hub, Microsoft Fabric Event Stream and Eventhouse, including the secure and reliable transmission of IoT device data to the cloud.

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Artificial Intelligence (AI):

• Implementation of AI solutions using OpenAI LLMs and RAG.

• OpenAI API integration, Natural Language to SQL (NLSQL).

• Implementation of advanced AI solutions on Azure Databricks using LLMs and RAG.

• Building AI chatbots with Voiceflow and Replit, as well as creating real-time avatar streams.